| Literature DB >> 25723548 |
Yi Chen1, Zhiyong Shen1, Jamie P Morano2, Kaveh Khoshnood3, Zunyou Wu4, Guanghua Lan1, Qiuying Zhu1, Yuejiao Zhou1, Shuai Tang1, Wei Liu1, Jie Chen5, Zhenzhu Tang1.
Abstract
INTRODUCTION: Female sex workers (FSWs) are at highest risk for contracting HIV and facilitating the current heterosexual HIV epidemic in Guangxi, China, yet little is known of the impact of recent harm reduction campaigns in the province. We analyzed sentinel surveillance data collected between 2010 and 2012 in Guangxi to explore correlations between the prevalence of HIV, hepatitis C (HCV), and syphilis and risk behaviors of different categories of FSWs in Guangxi.Entities:
Mesh:
Year: 2015 PMID: 25723548 PMCID: PMC4344209 DOI: 10.1371/journal.pone.0115311
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline demographics and characteristics of female sex workers (FSWs),Guangxi Province, China; China National CDC HIV/AIDS Surveillance Data, 2010–2012,N = 51,790.
| FSWs | 2010–2012 | 2010 | 2011 | 2012 | |
|---|---|---|---|---|---|
| Demographic Characteristics | N = 51790 | N = 16155 | N = 17615 | N = 18020 | p-value |
|
| <0.001 | ||||
| Mean | 29.1+/-7.7 | 28.0+/-7.3 | 28.8+/-7.6 | 30.3+/-7.8 | |
| < 35 | 41284(79.7) | 13547(83.9) | 14130(80.2) | 13607(75.5) | |
| ≥36 | 10506(20.3) | 2608(16.1) | 3485(19.8) | 4413(24.5) | |
|
| <0.001 | ||||
| High tier | 5477(10.6) | 1756(10.9) | 2007(11.4) | 1714(9.5) | |
| Mid tier | 23170(44.7) | 6591(40.8) | 8761(49.7) | 7818(43.4) | |
| Low tier | 20364(39.3) | 5095(31.5) | 6829(38.8) | 8440(46.8) | |
|
| 0.478 | ||||
| Guangxi | 39584(76.4) | 12345(76.4) | 13512(76.7) | 13727(76.2) | |
| Other | 12073(23.3) | 3765(23.3) | 4051(23.0) | 4257(23.6) | |
|
| <0.001 | ||||
| Han | 29270(56.5) | 9264(57.3) | 9923(56.3) | 10083(56.0) | |
| Zhuang | 16995(32.8) | 5268(32.6) | 5943(33.7) | 5784(32.0) | |
| Other | 4774(9.2) | 1404(8.7) | 1464(8.3) | 1906(10.6) | |
|
| <0.001 | ||||
| Single | 20581(39.7) | 7258(44.9) | 7288(41.4) | 6035(33.5) | |
| Married/Couple | 29285(56.5) | 8433(52.2) | 9776(55.5) | 11076(61.5) | |
| Divorced/ Widowed | 1825(3.5) | 439(2.7) | 498(2.8) | 888(4.9) | |
|
| <0.001 | ||||
| ≥ High school | 5919(11.4) | 2042(12.6) | 2146(12.2) | 1731(9.6) | |
| Junior High school | 28611(55.2) | 9125(56.5) | 9764(55.4) | 9722(54.0) | |
| ≤Elementary school | 17110(33.0) | 4937(30.6) | 5634(32.0) | 6539(36.3) | |
|
| 1271(2.5) | 478(3.0) | 486(2.8) | 307(1.7) | <0.001 |
|
| 196(0.4) | 68(0.4) | 71(0.4) | 57(0.3) | 0.233 |
Note: FSW = Female Sex Worker
*Some missing records in the dataset for tiers classification, so could not make 3 tiers to be 100%.
HIV, hepatitis C, and syphilis testing results for female sex workers (FSWs) from Guangxi Province, China; China National CDC HIV/AIDS Surveillance Data, 2010–2012,N = 51,790.
| FSWs | 2010–2012(N = 51,790) | 2010(N = 16,155) | 2011(N = 17,615) | 2012(N = 18,020) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Disease | Test No. | Pos. No. | Prev (%) | Test No. | Pos. No. | Prev (%) | Test No. | Pos. No. | Prev (%) | Test No. | Pos. No. | Prev (%) | p-value |
|
| |||||||||||||
| Overall | 51790 | 536 | 1.0 | 16138 | 148 | 0.9 | 17615 | 189 | 1.1 | 18020 | 199 | 1.1 | 0.498 |
| High tier | 5477 | 25 | 0.5 | 1756 | 11 | 0.6 | 2007 | 7 | 0.4 | 1714 | 7 | 0.4 | 0.338 |
| Mid tier | 23170 | 119 | 0.5 | 6578 | 31 | 0.5 | 8761 | 51 | 0.6 | 7818 | 37 | 0.5 | 0.965 |
| Low tier | 20364 | 381 | 1.9 | 5091 | 96 | 1.9 | 6829 | 130 | 1.9 | 8440 | 155 | 1.8 | 0.812 |
| p <.001 | p <.001 | p <.001 | p <.001 | ||||||||||
|
| |||||||||||||
| Overall | 51790 | 516 | 1.0 | 16138 | 152 | 0.9 | 17566 | 169 | 1.0 | 18020 | 195 | 1.1 | 0.37 |
| High tier | 5477 | 32 | 0.6 | 1756 | 10 | 0.6 | 2004 | 12 | 0.6 | 1714 | 10 | 0.6 | 0.956 |
| Mid tier | 23170 | 191 | 0.8 | 6578 | 62 | 0.9 | 8730 | 60 | 0.7 | 7818 | 69 | 0.9 | 0.765 |
| Low tier | 20364 | 274 | 1.3 | 5091 | 61 | 1.2 | 6814 | 97 | 1.4 | 8440 | 116 | 1.4 | 0.451 |
| p<.001 | p = 0.062 | p<.001 | p<.001 | ||||||||||
|
| |||||||||||||
| Overall | 51790 | 3472 | 6.7 | 16138 | 912 | 5.7 | 17566 | 1274 | 7.3 | 18020 | 1286 | 7.1 | <0.001 |
| High tier | 5477 | 174 | 3.2 | 1756 | 46 | 2.6 | 2004 | 69 | 3.4 | 1714 | 59 | 3.4 | 0.165 |
| Mid tier | 23170 | 1048 | 4.5 | 6578 | 290 | 4.4 | 8730 | 432 | 5.0 | 7818 | 326 | 4.2 | 0.417 |
| Low tier | 20364 | 2135 | 10.5 | 5091 | 466 | 9.2 | 6814 | 770 | 11.3 | 8440 | 899 | 10.7 | 0.02 |
| p <.001 | p<.001 | p <.001 | p <.001 | ||||||||||
Note: FSW = Female Sex Worker; Prev = Prevalence
Behaviors of condom use and ever drug use among 3 categories of female sex workers (FSWs), Guangxi province, China; China CDC HIV/AIDS National Surveillance Data, 2010–2012,N = 51,790.
| FSWs | TOTAL 2010–2012 | 2010 | 2011 | 2012 | p-value |
|---|---|---|---|---|---|
| Behavior | % (n/N) | % (n/N) | % (n/N) | % (n/N) | % (n/N) |
|
| |||||
| Overall | 65.0 (33662/51790) | 59.8 (9661/16155) | 58.8(10355/17615) | 75.7(13646/18020) | <0.001 |
| High tier | 71.2 (3902/5477) | 66.9 (1174/1756) | 61.7 (1239/2007) | 86.9(1489/1714) | <0.001 |
| Middle tier | 69.4 (16087/23170) | 64.1 (4223/6591) | 62.9 (5512/8761) | 81.2 (6352/7818) | <0.001 |
| Low tier | 59.8 (12172/20364) | 54.9 (2799/5095) | 52.7 (3596/6829) | 68.4 (5777/8440) | <0.001 |
| p-value | p<0.001 | p<0.001 | p<0.001 | p<0.001 | |
|
| |||||
| Overall | 2.5 (1271/51790) | 3.0 (478/16155) | 2.8 (486/17615) | 1.7 (307/18020) | <0.001 |
| High tier | 6.0 (328/5477) | 6.1 (107/1756) | 6.4 (129/2007) | 5.4 92/1714) | 0.374 |
| Middle tier | 2.5 (575/23170) | 3.2 (212/6591) | 2.6 (228/8761) | 1.7 (135/7818) | <0.001 |
| Low tier | 1.5 (307/20364) | 1.9 (98/5095) | 1.9 (129/6829) | 0.9 (80/8440) | <0.001 |
| p-value | p<0.001 | p<0.001 | p<0.001 | p<0.001 | |
|
| |||||
| Overall | 15.4 (196/1271) | 14.2 (68/478) | 14.6 (71/486) | 18.6 (57/307) | 0.050 |
| High tier | 1.5 (5/328) | 0.9 (1/107) | 2.3 (3/129) | 1.1 (1/92) | 0.981 |
| Middle tier | 15.8 (91/575) | 17.0 (36/212) | 11.8 (27/228) | 20.7 (28/135) | 0.086 |
| Low tier | 30.3(93/307) | 24.5(24/98) | 31.8(41/129) | 35.0(28/80) | 0.142 |
| p-value | p<0.001 | p<0.001 | p<0.001 | p<0.001 | |
Note: FSW = Female Sex Worker;
*p < 0.001 difference between high, middle, and low tier groups comparison for all categories in 2010, 2011, 2012.
Demographic and risk factors correlations of HIV or syphilis infection among female sex workers (FSW), Guangxi province, China, China National CDC HIV/AIDS Surveillance Data, 2010–2012.
| FSWs | HIV | Syphilis | HCV | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristic | univariate(P Value) | 95%CI for OR | Multivariate(P value) | 95%CI for AOR | univariate(P Value) | 95%CI for OR | Multivariate(P value) | 95%CI for AOR | univariate(P Value) | 95%CI for OR | Multivariate(P value) | 95%CI for AOR |
|
| ||||||||||||
| High tier | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Mid tier | 0.589 | 1.126 (0.731–1.736) | 0.630 | 0.892(0.562–1.418) | 0.000 | 1.446(1.228–1.702) | 0.107 | 1.148(0.971–1.359) | 0.069 | 1.416(0.973–2.062) | 0.454 | 1.157(0.790–1.696) |
| Low tier | 0.000 | 4.159(2.772–6.240) | 0.002 | 2.024(1.290–3.176) | 0.000 | 3.571(3.051–4.180) | 0.000 | 2.002(1.694–2.366) | 0.000 | 2.322(1.608–3.352) | 0.024 | 1.558(1.061–2.288) |
|
| ||||||||||||
| <35 | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| > = 35 | 0.000 | 3.364(2.834–3.992) | 0.000 | 1.653(1.335–2.047) | 0.000 | 2.873(2.675–3.087) | 0.000 | 1.707(1.564–1.864) | 0.000 | 1.470(1.209–1.787) | 0.772 | 0.965(0.760–1.225) |
|
| ||||||||||||
| Married/Cohabiting | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Not married/ | 0.000 | 2.048(1.668–2.514) | 0.919 | 1.013(0.787–1.304) | 0.000 | 2.235(2.060–2.424) | 0.000 | 1.275(1.157–1.405) | 0.039 | 1.217(1.010–1.467) | 0.748 | 0.964(0.773–1.203) |
| Divorced/ Widowed | 0.000 | 4.936(3.565–6.834) | 0.002 | 1.822(1.243–2.671) | 0.000 | 2.970(2.522–3.497) | 0.003 | 1.326(1.104–1.594) | 0.000 | 2.269(1.574–3.272) | 0.126 | 1.391(0.911–2.123) |
|
| ||||||||||||
| Guangxi | Ref. | Ref. | Ref. | Ref. | ||||||||
| Other | 0.360 | 1.096(0.901–1.334) | - | - | 0.000 | 1.309(1.212–1.414) | 0.012 | 1.111(1.023–1.206) | 0.055 | 1.211(0.996–1.472) | _ | _ |
|
| ||||||||||||
| High school (12 years education) or above | Ref. | Ref. | Ref. | Ref. | Ref. | |||||||
| Junior school(9 years education) | 0.004 | 2.040(1.255–3.316) | 0.009 | 2.077(1.199–3.599) | 0.000 | 1.792(1.526–2.105) | 0.000 | 1.571(1.324–1.866) | 0.279 | 1.183(0.872–1.605) | _ | _ |
| Elementary school (6 years education)or less | 0.000 | 6.587(4.096–10.592) | 0.000 | 3.708(2.138–6.432) | 0.000 | 4.063(3.463–4.766) | 0.000 | 2.349(1.973–2.796) | 0.088 | 1.316(0.960–1.806) | _ | _ |
|
| ||||||||||||
| 0.5 year or less | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| 0.5 to 1 years | 0.056 | 0.774(0.595–1.007) | 0.090 | 0.788(0.598–1.038) | 0.694 | 0.980(0.884–1.086) | 0.098 | 0.912(0.818–1.017) | 0.308 | 1.143(0.884–1.479) | 0.217 | 1.185(0.905–1.552) |
| 1 year or more | 0.002 | 1.345(1.113–1.625) | 0.640 | 1.051(0.854–1.293) | 0.000 | 1.551(1.434–1.677) | 0.000 | 1.191(1.093–1.298) | 0.000 | 1.657(1.355–2.027) | 0.014 | 1.320(1.057–1.648) |
|
| ||||||||||||
| consistent use | Ref. | Ref. | Ref. | Ref. | Ref. | |||||||
| Not consistent use | 0.000 | 2.131(1.795–2.531) | 0.000 | 1.478(1.230–1.775) | 0.000 | 1.449(1.350–1.556) | 0.020 | 1.096(1.014–1.183) | 0.132 | 1.151(0.958–1.382) | _ | _ |
|
| ||||||||||||
| No | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Yes | 0.000 | 7.532(4.344–13.061) | 0.039 | 2.095(1.038–4.229) | 0.000 | 3.974(2.828–5.585) | 0.179 | 1.332(0.877–2.024) | 0.000 | 81.837(60.591–110.532) | 0.000 | 60.654(43.424–84.721) |
|
| ||||||||||||
| No | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Yes | 0.000 | 2.357(1.746–3.182) | 0.041 | 1.402(1.015–1.939) | 0.000 | 4.033(3.608–4.507) | 0.000 | 3.558(3.150–4.018) | 0.000 | 2.310(1.701–3.137) | 0.334 | 1.189(0.837–1.690) |
|
| ||||||||||||
| Negative | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Positive | 0.000 | 4.965(4.070–6.057) | 0.000 | 2.564(2.057–3.195) | 0.000 | 4.965(4.070–6.057) | 0.000 | 2.609(2.093–3.252) | 0.000 | 7.532(5.284–10.736) | 0.000 | 3.738(2.465–5.669) |
|
| ||||||||||||
| Negative | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Positive | 0.000 | 7.532(5.284–10.736) | 0.000 | 4.117(2.702–6.274) | 0.000 | 5.514(4.533–6.707) | 0.000 | 4.357(3.463–5.481) | 0.000 | 5.514(4.533–6.707) | 0.000 | 4.157(3.315–5.213) |
Note: FSW = Female Sex Worker;
*Hosmer-Lemeshow goodness-of-fit for HIV multivariate analysis model is p = 0.216;
¶Hosmer-Lemeshow goodness-of-fit for syphilis multivariate analysis is p = 0.039;
#Hosmer-Lemeshow goodness-of-fit for HCV multivariate analysis is p = 0.148.
Multivariate models of correlates of the outcomes of testing positive for HIV, HCV, and syphilis among female sex workers (FSWs) in Guangxi Province, China, China National CDC HIV/AIDS Surveillance Data, 2010–2012,N = 51,790.
| HIV Positive | AOR (CI) | Syphilis Positive | AOR (CI) | HCV Positive | AOR (CI) |
|---|---|---|---|---|---|
|
| 4.12 (2.70–6.27) |
| 4.36 (3.46–5.48) |
| 60.65 (43.42–84.72) |
|
| 3.71(2.14–6.43) |
| 3.56 (3.15–4.02) |
| 4.16 (3.32–5.21) |
|
| 2.08 (1.20–3.60) |
| 2.61 (2.09–3.25) |
| 3.74 (2.47–5.67) |
|
| 2.56(2.06–3.20) |
| 2.35 (1.97–2.80) |
| 1.56 (1.06–2.29) |
|
| 2.10(1.04–4.23) |
| 2.00 (1.69–2.37) |
| 1.32 (1.06–1.65) |
|
| 2.02 (1.29–3.18) |
| 1.71 (1.56–1.86) | ||
|
| 1.82(1.24–2.67) |
| 1.57 (1.32–1.87) | ||
|
| 1.65(1.34–2.05) |
| 1.33 (1.10–1.59) | ||
|
| 1.48(1.23–1.78) |
| 1.28 (1.16–1.41) | ||
|
| 1.40(1.02–1.94) |
| 1.19 (1.09–1.30) | ||
|
| 1.11(1.02–1.21) | ||||
|
| 1.10 (1.01–1.18) |